Creating a personal language model might just be the smartest move in AI today.

In this episode, we dive into why building your own large language model is becoming a popular choice among AI enthusiasts and professionals. We explore the practical aspects of using open-source libraries like those found on Hugging Face and GitHub, and how tools like Llama and GPT can run on your own machine to deliver a fully customized experience. We also discuss how setting up your own language model can be a great learning project, ideal for those looking to upskill in machine learning, AI, and programming.

Tune in to this episode to learn why this is the next big step in AI and how you can get started on your own journey. Don't forget to subscribe to Beyond the Byte for more insights into the future of AI, machine learning, and technology!

▶️ Why Build Your Own AI Language Model Now?

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Mo Hafez is the Chief Executive Officer of ByteWise and a leading advocate for ethical AI in the business world. With over 15 years of experience in IT, Mo specializes in driving digital transformation and guiding organizations through seamless cloud and SaaS migrations. His work harnesses the latest technologies—including AI, ML, VR, and AR—to help businesses automate processes and fuel growth. Known for his ability to deliver secure, scalable solutions, Mo also mentors high-performing teams, shaping the next generation of tech innovators. In a rapidly changing landscape, he champions the ethical use of technology to future-proof organizations and empower tomorrow’s workforce.

Website: http://bytewise-llc.com/

LinkedIn: https://www.linkedin.com/in/hafezm/

https://www.linkedin.com/company/bytewise-ai/